A Model for Competence Gap Analysis

Christoph Lofi, Daniel Olmedilla, Odysseas Papapetrou, Wolf Siberski, Juri Luca De Coi, Arne Koesling, Eelco Herder

    Research output: Contribution to conferencePaperAcademic

    Abstract

    Modeling competences is an integral part of many Human Resource (HR) and e-Learning related activities. HR departments use competence descriptions to define requirements needed for performing specific tasks or jobs. The same competences are acquired by employees and applicants by e.g. experience or certifications. Typically, HR departments need to match such required and acquired competences in order to find suitable candidates. In e-Learning a similar situation arises. Curricula or training programmes need to describe prerequisites that must be fulfilled before joining and the competences that will be acquired after successful completion. This paper analyses the limitations and extends existing approaches for modeling competences in order to allow (semi-)automatic competence matching.
    Original languageEnglish
    Publication statusPublished - 2007

    Keywords

    • competence
    • competency
    • gap
    • analysis
    • lifelong
    • learning

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